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Carlotta Ruppert

As seen in: MDPI, Clinical Imaging
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Articles

Automatic Detection of Post-Operative Clips in Mammography Using a U-Net Convolutional Neural Network

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By Carlotta Ruppert, Patryk Hejduk, Karol Borkowski, Tician Schnitzler
| MDPI
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
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Explainable Precision Medicine in Breast MRI: A Combined Radiomics and Deep Learning Approach for the Classification of Contrast Agent Uptake

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By Sylwia Nowakowska, Karol Borkowski, Carlotta Ruppert, Patryk Hejduk
| MDPI
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
Open in Who Shared Issue with article?

Detection of microcalcifications in photon-counting dedicated breast-CT using a deep convolutional neural network: Proof of principle

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By Karol Borkowski, Anna Landsmann, Carlotta Ruppert, Patryk Hejduk
| Clinical Imaging Verified
1. Introduction With an estimated 2.3 million new cases per year, breast cancer (BC) constitutes the most common cause of cancer death in the female population (15.5%). 27. Sung H. Ferlay J. Siegel R.L. et al. Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries.
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